{"id":24738,"date":"2025-04-22T14:24:11","date_gmt":"2025-04-22T12:24:11","guid":{"rendered":"https:\/\/daisec.de\/?page_id=24738"},"modified":"2025-04-23T15:48:24","modified_gmt":"2025-04-23T13:48:24","slug":"komplexe-richtlinien-einfach-erklaert-ein-ki-chatbot-fuer-den-bundesverband-metall","status":"publish","type":"page","link":"https:\/\/daisec.de\/en\/praxisbeispiele\/komplexe-richtlinien-einfach-erklaert-ein-ki-chatbot-fuer-den-bundesverband-metall\/","title":{"rendered":"Complex guidelines explained simply: an AI chatbot for the Bundesverband Metall\u00a0"},"content":{"rendered":"
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A chatbot that explains complex railing guidelines in an understandable way? This is not only possible, but has already been successfully realised. In collaboration with the Bundesverband Metall, DAISEC has developed a specialised chatbot that provides precise answers to questions about the extensive railing guidelines. <\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Challenges with complex documents <\/h5>\n <\/div>\n <\/div>\n
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The railing guideline of the Bundesverband Metall is a technical document that defines the standards and requirements for the construction, installation and safety of railings in various scenarios. It includes detailed instructions and technical specifications to ensure that all railings meet the highest safety and quality standards. <\/p>\n

The more than 50-page guideline with its numerous tables and cross-references placed special demands on the technical implementation of the chatbot. The usual OpenAI Assistants API, which is well suited for simple customer enquiries, reached its limits here. The DAISEC experts therefore opted for an advanced approach with established RAG frameworks (Retrieval Augmented Generation), which enable more precise processing of extensive documents.\n <\/p>\n <\/div>\n <\/div>\n

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Innovative technical solution through collaboration <\/h5>\n <\/div>\n <\/div>\n
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The system was evaluated in close cooperation with a terrain expert from the federal association. To this end, the team developed specific questions to continuously analyse and improve the quality of the answers generated.\n <\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Technical development and optimisation <\/h5>\n <\/div>\n <\/div>\n
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The response quality has been continuously improved through various measures:<\/p>\n